scholarly journals Toprak Hidrolik İletkenlik Ölçümünün Atölye Koşullarında Modellenmesi

Author(s):  
Cafer Gencoglan ◽  
Serpil Gençoğlan

The aim of this study is to model the system that measures soil hydraulic conductivity using Programmable Logic Control (PLC), pressure transducer and motor pump in workshop conditions. In the study, a plastic pipe with a length of 2 m and a diameter of 100 was prepared to simulate an auger hole. In addition, a set was created using PLC and its module. In the hydraulic conductivity measurement system, the auger hole method (the bottom of the auger hole is above the impermeable layer) is used. Using the auger-hole equation, the system’s program was written in CODESYS-ST language and uploaded to the PLC. As a result of the regression analysis between the water head in the pipe (auger-hole) measured by hand (ESY) and PLC (PLCSY), an equation as PLCSY = 0,99ESY + 1,69 (R² = 1) was obtained and the Mean Absolute Percent Error (MAPE) of these two data sets was calculated as 0,41%. Each hydraulic conductivity measurement time is approximately 5, 6 and 8 minutes when the valve is fully open and half open and one-third open. The distance from the pipe base to the static level (d, cm) was measured as averages of 122.83, 123.91 and 123.7 cm on, respectively. In the first quarter section, the average times taken for the water level to rise from 20 to 25, 25 to 30, 30 to 35 and 35 to 40 was determined as 4.4, 6.0 and 26.1 seconds, respectively. The hydraulic conductivity values were calculated as 18.6, 13.2 and 3.1 cm/hour at the valve openings, respectively. The measured data is saved on an SD card. All of these processes are done automatically. The expectation that this system will measure hydraulic conductivity accurately, economically and quickly in field conditions is high and should be tested in field conditions.

Author(s):  
Nurul Chairunnisa

Automatic Transfer Switch (ATS) adalah suatu rangkaian yang mampu memindahkan beban dari sumber listrik utama ke sumber listrik cadangan. Apabila kemudian PLN kembali normal selanjutnya ATS bertugas untuk mengembalikan jalurnya dengan memindahkan switch kembali ke sisi utama. Suplai daya utama dari PLN tidak selamanya berkesinambungan, suatu saat pasti terjadi pemadaman yang dapat disebabkan oleh perawatan secara berkala atau pun gangguan pada pembangkit di sistem distribusi dan sistem transmisi. Maka untuk mengatasi hal tersebut diperlukan back up daya yang berupa generator. Kendala dalam menggunakan generator ini adalah ketika suplai daya dari PLN terputus operator akan membutuhkan waktu yang lama dalam menghidupkan generator, inilah mengapa kita membutuhkan alat bantu otomatis untuk mempermudah operator yakni ATS. Alat yang dibuat ini dilengkapi dengan Programmable logic control (PLC), PLC ini merupakan sistem kontrol utama untuk alat yang akan dibuat sebagai kontrol otomatis sehingga memudahkan dalam pembuatan, instalasi, dan perawatan.Kata kunci : ATS, PLC, Generator


Author(s):  
Santi Triwijaya ◽  
Arief Darmawan ◽  
Andri Pradipta ◽  
Dara Aulia Feriando

A cable car is a hanging car that runs by cable. Cable car carrier controlled by DC motor. The cable car can be a solution to accommodate the mobilization of agricultural commodities in areas that are difficult to access while still paying attention to safety and reliability. In this research, the speed of a cable car would be automatically controlled with Programmable Logic Control (PLC). PLC functions as a cable car operation controller by considering 3 parameters, namely: wind speed, maximum load weight, and distance (meters). The speed of the cable car is controlled by the PLC using fuzzy logic. Cable car speed is based on parameters of wind speed, load weight and distance. From the results obtained, the PLC has worked well in regulating the speed of the cable car and if any parameter exceeds the PLC limit, it can turn off the cable car.


Author(s):  
Brian E. O’Neill ◽  
Timothy P. Quinn ◽  
King C. P. Li

Multiphasic tissue models have been used extensively to predict the behavior of cartilaginous tissues [1]. Their application to other soft tissues, however, has often been overlooked. Unlike the more commonly used continuum model of the viscoelastic solid [2], multiphasic models allow us to infer the behaviors and properties of tissue subcomponents by observing the behavior of the tissue whole. As a great deal of tissue function and structure is related to the control and transport of fluids and fluid-borne agents, there is clearly a need for this insight in all tissues. For example, there has been a great deal of interest recently in the possibility of modifying the flow properties of solid tumors and other tissues to allow the targeted delivery of large molecular weight drugs, such as chemotherapeutic or genetic agents [3–4]. It is well known that the high interstitial fluid pressures, confused vasculature, and lack of a lymphatic system prevent the effective distribution of directly injected or systemically administered drugs into tumors [3]. Increasing the effective permeability of these tumors can ameliorate these issues and allow for more effective treatment. A handful of studies have found that the biphasic model, along with some basic experimental tools, can reasonably represent the flow properties of tumors [4–5]. In this paper, we describe a technique using a simple confined compression experiment with the biphasic model to measure the hydraulic conductivity of samples of cardiac tissue.


2014 ◽  
Vol 554 ◽  
pp. 469-473
Author(s):  
Nasution Henry ◽  
W.G. Munan ◽  
Abdul Aziz Azhar ◽  
Kasni Sumeru ◽  
Abdul Latiff Zulkarnain

This project present an experimental test results on energy consumption of a refrigerator compressor triggered by using thermostat and programmable logic control (PLC). The PLC modulates the speeds of the compressor according to refrigeration load using inverter based on control law written in the PLC memory. The temperature setting for both thermostat and PLC were varied at-8 °C and-10 °C respectively. At-8°C the results indicate PLC consumed 4.45 to 6.79% less energy compared to thermostat setting. While at-10°C, the saving made through PLC is in the range of 6.43 to 12.88%. The fluctuation of freezer compartment is better when PLC controlled. As the energy input to compressor is lower due to the slower speed, this enhanced the coefficient of performance (COP).


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